Checks if an object can be used to perform reproduction toxicity data analysis
The reproDataCheck function can be used to check if an object
containing data from a reproduction toxicity assay meets the expectations
of the function reproData.
reproDataCheck(data, diagnosis.plot = TRUE)
data |
any object |
diagnosis.plot |
if |
Since in morse' reproduction data sets are a special case of survival data sets,
reproDataCheck performs the same verifications than
survDataCheck plus additional ones that are specific to
reproduction data.
The function returns a data.frame similar to the one returned
by survDataCheck, except that it may contain the following
additional error ids:
NreproInteger: column Nrepro contains values of class other than integer
Nrepro0T0: Nrepro is not 0 at time 0 for each concentration and each replicate
Nsurvt0Nreprotp1P: at a given time T, the number of
alive individuals is null and the number of collected offspring is not null
for the same replicate and the same concentration at time T+1
If an error of type dataframeExpected or missingColumn
is detected, the function
reproDataCheck is stopped. When no error is detected the
reproDataCheck
function returns an empty dataframe.
# Run the check data function data(copper) reproDataCheck(copper) # Now we insert an error in the data set, by setting a non-zero number of # offspring at some time, although there is no surviving individual in the # replicate from the previous time point. copper[148, "Nrepro"] <- as.integer(1) reproDataCheck(copper)
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